lingbot-4000-aug is an open-weight model from Rommel. It has 6.4B parameters. At 16-bit it needs about 15.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Runs On
What it takes to serve lingbot-4000-aug (6.4B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 12.8 GB | 15.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 6.4 GB | 7.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 3.2 GB | 3.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 18, 2026.
lingbot-4000-aug on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- LingbotVlaV2Policy
- Vocabulary size
- 257,152
- Model type
- lingbotvla
Identity and Version
- Repository
- rommeltest/lingbot-4000-aug
- Publisher
- Rommel
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 6.4B parameters
- Languages
- Not stated by the source
- Revision
- f1dc1c6911782ca77ed5e9f558e8ad61fafac111
- First published
- 2026-10-12
- Last updated
- 2026-10-12
Files and Weights
18 files, 25.5 GB in total. The weights are 6 files totalling 25.5 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00001-of-00006.safetensors | Weights | 4.9 GB | b531232b5233 |
| model-00002-of-00006.safetensors | Weights | 4.9 GB | 9298f7155941 |
| model-00003-of-00006.safetensors | Weights | 4.9 GB | f086ee59adae |
| model-00004-of-00006.safetensors | Weights | 5.0 GB | 4e6fd831ea36 |
| model-00005-of-00006.safetensors | Weights | 5.0 GB | dd8ea47864fb |
| model-00006-of-00006.safetensors | Weights | 711.8 MB | ecc7d4e5b98d |
| added_tokens.json | Configuration | 707 B | — |
| config.json | Configuration | 4.4 KB | — |
| model.safetensors.index.json | Configuration | 207.4 KB | — |
| preprocessor_config.json | Configuration | 782 B | — |
| special_tokens_map.json | Configuration | 613 B | — |
| video_preprocessor_config.json | Configuration | 817 B | — |
| chat_template.jinja | Other | 5.3 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 11.4 MB | aeb13307a71a |
| tokenizer_config.json | Tokenizer | 5.5 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 25.5 GB
Released by Rommel through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 25.5 GB |
| 16-bit | 12.8 GB |
| 8-bit | 6.4 GB |
| 4-bit | 3.2 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About lingbot-4000-aug
How much GPU memory does lingbot-4000-aug need?
About 15.3 GB at 16-bit and 3.8 GB at 4-bit: the weights (6.4B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run lingbot-4000-aug on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.